This course is oriented toward US high school students. The course is divided into 10 units of study. The first five units build the foundation of concepts, vocabulary, knowledge, and skills for success in the remainder of the course. In the final five units, we will take the plunge into the domain of inferential statistics, where we make statistical decisions based on the data that we have collected.
Introduction to quantitative analysis of business and economics, with emphasis on the application of statistical methods and tools in business decision-making. Topics include descriptive statistics, elementary probability, and introduction to statistical inference using sampling, estimation, and introduction to hypothesis testing; and use of application software. Additional topics include: two-sample confidence intervals and hypothesis testing, correlation analysis, anova, regression and forecasting; and use of application software.
Introductory survey of quantitative methods (QM), or the application of statistics in the workplace. Examines techniques for gathering, analyzing, and interpreting data in any number of fieldsĺÎĺ from anthropology to hedge fund management.
The applets in this section of Statistical Java allow you to see how levels of confidence are achieved through repeated sampling. The confidence intervals are related to the probability of successes in a Binomial experiment.
- Statistics and Probability
- Material Type:
- Consortium for the Advancement of Undergraduate Statistics Education
- Provider Set:
- Anderson-Cook, C.
- Dorai-Raj, S.
- Robinson, T.
- Date Added:
This course is designed to introduce first-year Sloan MBA students to the fundamental techniques of using data. In particular, the course focuses on various ways of modeling, or thinking structurally about decision problems in order to make informed management decisions.
This textbook offers training in the understanding and application of statistics and data mining. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses. It covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics, credit scoring, forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others.
The Electronic Statistics Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules" and accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included.
How to Use Microsoft Excel: The Careers in Practice Series is an textbook appropriate for a course covering Microsoft Excel at a beginner to intermediate level. It is geared toward and will be accommodating for students and instructors with little to no experience in using Microsoft Excel. However, the approach is not at the expense of relevance.
Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
This is an Internet-based probability and statistics E-Book. The materials, tools and demonstrations presented in this E-Book would be very useful for advanced-placement (AP) statistics educational curriculum. The E-Book is initially developed by the UCLA Statistics Online Computational Resource (SOCR). However, all statistics instructors, researchers and educators are encouraged to contribute to this project and improve the content of these learning materials.
This course will provide you with a comprehensive introduction to spreadsheets; it is designed for first-time users with very little or no exposure to the subject.
This 12-minute video lesson looks at the T-Statistic Confidence Interval (for small sample sizes). [Statistics playlist: Lesson 52 of 85]